DEVELOPMENT... OpenML
Run
33449

Run 33449

Task 4200 (Supervised Classification) SPECT Uploaded 14-10-2014 by Felicia West
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Flow

weka.Bagging_JRip(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_JRip(2)_I160
weka.Bagging_JRip(2)_P100
weka.Bagging_JRip(2)_S1
weka.Bagging_JRip(2)_Wweka.classifiers.rules.JRip
weka.Bagging_JRip(2)_num-slots1
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8025
Per class
Build CPU time
0.6536
Build memory
1214531297.4742
F measure
0.8243
Per class
Kappa
0.4311
KB relative information score
523.6491
Mean absolute error
0.2506
Mean prior absolute error
0.3284
Number of instances
2670
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8234
Per class
Predictive accuracy
0.8378
Prior entropy
0.738
Recall
0.8378
Per class
Relative absolute error
0.7631
Root mean prior squared error
0.4044
Root mean squared error
0.3527
Root relative squared error
0.8722
SciMark benchmark
941.3511